CAJ | 학술논문

针对目前存在的纸币识别率低和速度慢的问题，提出了一种新型的纸币数字多特征综合识别算法。分析细化后纸币字符图像的拓扑结构，以及字符像素的端点等结构特征，对其进行初步分类；改变字符拓扑特征，对上一步骤的结果进行进一步分类识别；针对破损字符不满足拓扑结构特征的污损字符，采用了模板匹配的方式进行了补漏识别。实验结果表明，相对于传统的识别算法，提出的算法不仅具有更高的识别率，而且具有较高的识别速率。
침대목전존재적지폐식별솔저화속도만적문제，제출료일충신형적지폐수자다특정종합식별산법。분석세화후지폐자부도상적탁복결구，이급자부상소적단점등결구특정，대기진행초보분류；개변자부탁복특정，대상일보취적결과진행진일보분류식별；침대파손자부불만족탁복결구특정적오손자부，채용료모판필배적방식진행료보루식별。실험결과표명，상대우전통적식별산법，제출적산법불부구유경고적식별솔，이차구유교고적식별속솔。
A novel complex identification approach with multi-feature based on banknotes number is designed, which addresses the slow rate and low efficiency of paper currency recognition. Firstly, topology of banknote character image is analyzed. The structural features, such as endpoint of the character pixel, have been processed. Then, the character topo-logical features have been modified, and its results have been more classified and distinguished. In addition, as the damaged character does not satisfy defaced character of the topology, template matching method has been introduced to identify. Finally, the experimental results show that compared with traditional identification algorithm, the proposed method has better efficiency and faster rate.